Cleanup some doc warnings/bad/broken links

This fixes some of the old links to classes that
have been moved, or split, fixes some of the sphinx
warnings that were being output and cleans up the
reference to deprecated properties.

Change-Id: Ib930c54bcdf15876093cbe5b6527a195b9594f40
This commit is contained in:
Joshua Harlow 2014-12-13 23:09:19 -08:00 committed by Joshua Harlow
parent 1f4dd72e6e
commit aa8d55d948
3 changed files with 33 additions and 17 deletions

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@ -167,7 +167,7 @@ Additional supported keyword arguments:
* ``executor``: a object that implements a :pep:`3148` compatible `executor`_ * ``executor``: a object that implements a :pep:`3148` compatible `executor`_
interface; it will be used for scheduling tasks. You can use instances of a interface; it will be used for scheduling tasks. You can use instances of a
`thread pool executor`_ or a :py:class:`green executor `thread pool executor`_ or a :py:class:`green executor
<taskflow.utils.eventlet_utils.GreenExecutor>` (which internally uses <taskflow.types.futures.GreenThreadPoolExecutor>` (which internally uses
`eventlet <http://eventlet.net/>`_ and greenthread pools). `eventlet <http://eventlet.net/>`_ and greenthread pools).
.. tip:: .. tip::
@ -271,13 +271,13 @@ Scheduling
^^^^^^^^^^ ^^^^^^^^^^
This stage selects which atoms are eligible to run by using a This stage selects which atoms are eligible to run by using a
:py:class:`~taskflow.engines.action_engine.runtime.Scheduler` implementation :py:class:`~taskflow.engines.action_engine.scheduler.Scheduler` implementation
(the default implementation looks at there intention, checking if predecessor (the default implementation looks at there intention, checking if predecessor
atoms have ran and so-on, using a atoms have ran and so-on, using a
:py:class:`~taskflow.engines.action_engine.analyzer.Analyzer` helper :py:class:`~taskflow.engines.action_engine.analyzer.Analyzer` helper
object as needed) and submits those atoms to a previously provided compatible object as needed) and submits those atoms to a previously provided compatible
`executor`_ for asynchronous execution. This `executor`_ for asynchronous execution. This
:py:class:`~taskflow.engines.action_engine.runtime.Scheduler` will return a :py:class:`~taskflow.engines.action_engine.scheduler.Scheduler` will return a
`future`_ object for each atom scheduled; all of which are collected into a `future`_ object for each atom scheduled; all of which are collected into a
list of not done futures. This will end the initial round of scheduling and at list of not done futures. This will end the initial round of scheduling and at
this point the engine enters the :ref:`waiting <waiting>` stage. this point the engine enters the :ref:`waiting <waiting>` stage.
@ -290,7 +290,7 @@ Waiting
In this stage the engine waits for any of the future objects previously In this stage the engine waits for any of the future objects previously
submitted to complete. Once one of the future objects completes (or fails) that submitted to complete. Once one of the future objects completes (or fails) that
atoms result will be examined and finalized using a atoms result will be examined and finalized using a
:py:class:`~taskflow.engines.action_engine.runtime.Completer` implementation. :py:class:`~taskflow.engines.action_engine.completer.Completer` implementation.
It typically will persist results to a provided persistence backend (saved It typically will persist results to a provided persistence backend (saved
into the corresponding :py:class:`~taskflow.persistence.logbook.AtomDetail` into the corresponding :py:class:`~taskflow.persistence.logbook.AtomDetail`
and :py:class:`~taskflow.persistence.logbook.FlowDetail` objects) and reflect and :py:class:`~taskflow.persistence.logbook.FlowDetail` objects) and reflect
@ -330,18 +330,21 @@ Interfaces
.. automodule:: taskflow.engines.action_engine.analyzer .. automodule:: taskflow.engines.action_engine.analyzer
.. automodule:: taskflow.engines.action_engine.compiler .. automodule:: taskflow.engines.action_engine.compiler
.. automodule:: taskflow.engines.action_engine.completer
.. automodule:: taskflow.engines.action_engine.engine .. automodule:: taskflow.engines.action_engine.engine
.. automodule:: taskflow.engines.action_engine.runner .. automodule:: taskflow.engines.action_engine.runner
.. automodule:: taskflow.engines.action_engine.runtime .. automodule:: taskflow.engines.action_engine.runtime
.. automodule:: taskflow.engines.action_engine.scheduler
.. automodule:: taskflow.engines.action_engine.scopes
.. automodule:: taskflow.engines.base .. automodule:: taskflow.engines.base
Hierarchy Hierarchy
========= =========
.. inheritance-diagram:: .. inheritance-diagram::
taskflow.engines.base taskflow.engines.action_engine.engine.ActionEngine
taskflow.engines.action_engine.engine taskflow.engines.base.Engine
taskflow.engines.worker_based.engine taskflow.engines.worker_based.engine.WorkerBasedActionEngine
:parts: 1 :parts: 1
.. _future: https://docs.python.org/dev/library/concurrent.futures.html#future-objects .. _future: https://docs.python.org/dev/library/concurrent.futures.html#future-objects

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@ -17,10 +17,9 @@ transitions, which is useful for monitoring, logging, metrics, debugging
and plenty of other tasks. and plenty of other tasks.
To receive these notifications you should register a callback with To receive these notifications you should register a callback with
an instance of the :py:class:`~taskflow.utils.misc.Notifier` an instance of the :py:class:`~taskflow.types.notifier.Notifier`
class that is attached class that is attached to :py:class:`~taskflow.engines.base.Engine`
to :py:class:`Engine <taskflow.engines.base.EngineBase>` attributes ``atom_notifier`` and ``notifier``.
attributes ``task_notifier`` and ``notifier``.
TaskFlow also comes with a set of predefined :ref:`listeners <listeners>`, and TaskFlow also comes with a set of predefined :ref:`listeners <listeners>`, and
provides means to write your own listeners, which can be more convenient than provides means to write your own listeners, which can be more convenient than
@ -34,7 +33,7 @@ Flow notifications
------------------ ------------------
To receive notification on flow state changes use the To receive notification on flow state changes use the
:py:class:`~taskflow.utils.misc.Notifier` instance available as the :py:class:`~taskflow.types.notifier.Notifier` instance available as the
``notifier`` property of an engine. ``notifier`` property of an engine.
A basic example is: A basic example is:
@ -69,8 +68,8 @@ Task notifications
------------------ ------------------
To receive notification on task state changes use the To receive notification on task state changes use the
:py:class:`~taskflow.utils.misc.Notifier` instance available as the :py:class:`~taskflow.types.notifier.Notifier` instance available as the
``task_notifier`` property of an engine. ``atom_notifier`` property of an engine.
A basic example is: A basic example is:
@ -149,12 +148,12 @@ For example, this is how you can use
Basic listener Basic listener
-------------- --------------
.. autoclass:: taskflow.listeners.base.ListenerBase .. autoclass:: taskflow.listeners.base.Listener
Printing and logging listeners Printing and logging listeners
------------------------------ ------------------------------
.. autoclass:: taskflow.listeners.base.LoggingBase .. autoclass:: taskflow.listeners.base.DumpingListener
.. autoclass:: taskflow.listeners.logging.LoggingListener .. autoclass:: taskflow.listeners.logging.LoggingListener
@ -173,3 +172,17 @@ Claim listener
-------------- --------------
.. autoclass:: taskflow.listeners.claims.CheckingClaimListener .. autoclass:: taskflow.listeners.claims.CheckingClaimListener
Hierarchy
---------
.. inheritance-diagram::
taskflow.listeners.base.DumpingListener
taskflow.listeners.base.Listener
taskflow.listeners.claims.CheckingClaimListener
taskflow.listeners.logging.DynamicLoggingListener
taskflow.listeners.logging.LoggingListener
taskflow.listeners.printing.PrintingListener
taskflow.listeners.timing.PrintingTimingListener
taskflow.listeners.timing.TimingListener
:parts: 1

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@ -230,7 +230,7 @@ def _get_arg_spec(function):
def get_callable_args(function, required_only=False): def get_callable_args(function, required_only=False):
"""Get names of callable arguments. """Get names of callable arguments.
Special arguments (like *args and **kwargs) are not included into Special arguments (like ``*args`` and ``**kwargs``) are not included into
output. output.
If required_only is True, optional arguments (with default values) If required_only is True, optional arguments (with default values)